Triple
T759648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Cup of Hockey |
E16036
|
entity |
| Predicate | teamRepresentation |
P18787
|
FINISHED |
| Object | countries |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: countries | Statement: [World Cup of Hockey, teamRepresentation, countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamRepresentation Context triple: [World Cup of Hockey, teamRepresentation, countries]
-
A.
representedByTeam
Indicates that an entity is officially or formally represented by a specific team.
-
B.
leagueTeam2
Indicates that the subject entity is the second team participating in a particular league, matchup, or league-related context.
-
C.
teamName
Indicates the relationship that assigns or associates a specific name with a particular team.
-
D.
featuredTeam
Indicates that a particular team is highlighted or given special prominence in a given context or presentation.
-
E.
leagueTeam1
Indicates that the subject is the first (or primary) team participating in a particular league or league matchup.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a67f9778819098d3c144dd26b976 |
completed | March 1, 2026, 8:50 p.m. |
| PD | Predicate disambiguation | batch_69a4a5048a8081908d0542214142664a |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a58c0a84819094f07658dc651b36 |
completed | March 1, 2026, 8:46 p.m. |
Created at: March 1, 2026, 7:37 p.m.